{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}U:\u5390570\Hitler Youth Project\Main Data Analysis\Altonji-Elder-Taber tests.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}13 Nov 2017, 10:30:12

{com}. reg monthshy catholic class hum_cap urban i.year

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    10,885
{txt}{hline 13}{c +}{hline 34}   F(34, 10850)    = {res}   299.06
{txt}       Model {c |} {res} 6708191.14        34  197299.739   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 7158062.26    10,850   659.72924   {txt}R-squared       ={res}    0.4838
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4822
{txt}       Total {c |} {res} 13866253.4    10,884  1274.00344   {txt}Root MSE        =   {res} 25.685

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    monthshy{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}catholic {c |}{col 14}{res}{space 2}-5.190345{col 26}{space 2} .4977308{col 37}{space 1}  -10.43{col 46}{space 3}0.000{col 54}{space 4}-6.165988{col 67}{space 3}-4.214701
{txt}{space 7}class {c |}{col 14}{res}{space 2} 1.290123{col 26}{space 2} .3467906{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .6103505{col 67}{space 3} 1.969896
{txt}{space 5}hum_cap {c |}{col 14}{res}{space 2} 1.416582{col 26}{space 2} .2846436{col 37}{space 1}    4.98{col 46}{space 3}0.000{col 54}{space 4} .8586281{col 67}{space 3} 1.974535
{txt}{space 7}urban {c |}{col 14}{res}{space 2}-.5263404{col 26}{space 2} .6721099{col 37}{space 1}   -0.78{col 46}{space 3}0.434{col 54}{space 4}-1.843799{col 67}{space 3} .7911177
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1901  {c |}{col 14}{res}{space 2}-1.276651{col 26}{space 2} 2.858415{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-6.879665{col 67}{space 3} 4.326364
{txt}{space 7}1902  {c |}{col 14}{res}{space 2}-.5478553{col 26}{space 2} 3.002671{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-6.433639{col 67}{space 3} 5.337928
{txt}{space 7}1903  {c |}{col 14}{res}{space 2}-.6997328{col 26}{space 2}  2.89533{col 37}{space 1}   -0.24{col 46}{space 3}0.809{col 54}{space 4}-6.375108{col 67}{space 3} 4.975642
{txt}{space 7}1904  {c |}{col 14}{res}{space 2}-.7659314{col 26}{space 2} 2.658595{col 37}{space 1}   -0.29{col 46}{space 3}0.773{col 54}{space 4}-5.977262{col 67}{space 3}   4.4454
{txt}{space 7}1905  {c |}{col 14}{res}{space 2}-1.082107{col 26}{space 2} 2.680237{col 37}{space 1}   -0.40{col 46}{space 3}0.686{col 54}{space 4}-6.335861{col 67}{space 3} 4.171648
{txt}{space 7}1906  {c |}{col 14}{res}{space 2}-.6889551{col 26}{space 2} 2.519268{col 37}{space 1}   -0.27{col 46}{space 3}0.784{col 54}{space 4} -5.62718{col 67}{space 3}  4.24927
{txt}{space 7}1907  {c |}{col 14}{res}{space 2}-1.036959{col 26}{space 2} 2.508252{col 37}{space 1}   -0.41{col 46}{space 3}0.679{col 54}{space 4} -5.95359{col 67}{space 3} 3.879673
{txt}{space 7}1908  {c |}{col 14}{res}{space 2}-1.128261{col 26}{space 2} 2.493391{col 37}{space 1}   -0.45{col 46}{space 3}0.651{col 54}{space 4}-6.015763{col 67}{space 3} 3.759241
{txt}{space 7}1909  {c |}{col 14}{res}{space 2}-1.031912{col 26}{space 2} 2.469835{col 37}{space 1}   -0.42{col 46}{space 3}0.676{col 54}{space 4} -5.87324{col 67}{space 3} 3.809416
{txt}{space 7}1910  {c |}{col 14}{res}{space 2}-.9980703{col 26}{space 2}  2.35709{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-5.618397{col 67}{space 3} 3.622257
{txt}{space 7}1911  {c |}{col 14}{res}{space 2} -1.19564{col 26}{space 2} 2.425881{col 37}{space 1}   -0.49{col 46}{space 3}0.622{col 54}{space 4}-5.950809{col 67}{space 3} 3.559529
{txt}{space 7}1912  {c |}{col 14}{res}{space 2}-.9664423{col 26}{space 2} 2.402488{col 37}{space 1}   -0.40{col 46}{space 3}0.687{col 54}{space 4}-5.675758{col 67}{space 3} 3.742874
{txt}{space 7}1913  {c |}{col 14}{res}{space 2}-.8487551{col 26}{space 2} 3.627567{col 37}{space 1}   -0.23{col 46}{space 3}0.815{col 54}{space 4}-7.959449{col 67}{space 3} 6.261939
{txt}{space 7}1914  {c |}{col 14}{res}{space 2}-.1859551{col 26}{space 2}  3.18263{col 37}{space 1}   -0.06{col 46}{space 3}0.953{col 54}{space 4}-6.424491{col 67}{space 3} 6.052581
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} .3881072{col 26}{space 2} 3.304241{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-6.088809{col 67}{space 3} 6.865023
{txt}{space 7}1916  {c |}{col 14}{res}{space 2} 1.417542{col 26}{space 2} 3.492837{col 37}{space 1}    0.41{col 46}{space 3}0.685{col 54}{space 4}-5.429055{col 67}{space 3}  8.26414
{txt}{space 7}1917  {c |}{col 14}{res}{space 2} 7.112342{col 26}{space 2} 2.413712{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} 2.381026{col 67}{space 3} 11.84366
{txt}{space 7}1918  {c |}{col 14}{res}{space 2} 12.09533{col 26}{space 2}  2.41241{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} 7.366562{col 67}{space 3} 16.82409
{txt}{space 7}1919  {c |}{col 14}{res}{space 2} 16.66534{col 26}{space 2} 2.302275{col 37}{space 1}    7.24{col 46}{space 3}0.000{col 54}{space 4} 12.15246{col 67}{space 3} 21.17822
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 22.60595{col 26}{space 2} 2.229477{col 37}{space 1}   10.14{col 46}{space 3}0.000{col 54}{space 4} 18.23577{col 67}{space 3} 26.97613
{txt}{space 7}1921  {c |}{col 14}{res}{space 2} 32.34297{col 26}{space 2} 2.269496{col 37}{space 1}   14.25{col 46}{space 3}0.000{col 54}{space 4} 27.89435{col 67}{space 3}  36.7916
{txt}{space 7}1922  {c |}{col 14}{res}{space 2} 43.64424{col 26}{space 2} 2.277499{col 37}{space 1}   19.16{col 46}{space 3}0.000{col 54}{space 4} 39.17992{col 67}{space 3} 48.10855
{txt}{space 7}1923  {c |}{col 14}{res}{space 2} 53.49537{col 26}{space 2} 2.322954{col 37}{space 1}   23.03{col 46}{space 3}0.000{col 54}{space 4} 48.94195{col 67}{space 3} 58.04878
{txt}{space 7}1924  {c |}{col 14}{res}{space 2} 61.20325{col 26}{space 2} 2.320367{col 37}{space 1}   26.38{col 46}{space 3}0.000{col 54}{space 4} 56.65491{col 67}{space 3} 65.75159
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} 61.80641{col 26}{space 2} 2.258176{col 37}{space 1}   27.37{col 46}{space 3}0.000{col 54}{space 4} 57.37998{col 67}{space 3} 66.23285
{txt}{space 7}1926  {c |}{col 14}{res}{space 2}  60.3819{col 26}{space 2} 2.274973{col 37}{space 1}   26.54{col 46}{space 3}0.000{col 54}{space 4} 55.92254{col 67}{space 3} 64.84127
{txt}{space 7}1927  {c |}{col 14}{res}{space 2} 56.01806{col 26}{space 2} 2.797716{col 37}{space 1}   20.02{col 46}{space 3}0.000{col 54}{space 4} 50.53403{col 67}{space 3}  61.5021
{txt}{space 7}1928  {c |}{col 14}{res}{space 2} 47.19577{col 26}{space 2} 4.029151{col 37}{space 1}   11.71{col 46}{space 3}0.000{col 54}{space 4}  39.2979{col 67}{space 3} 55.09364
{txt}{space 7}1929  {c |}{col 14}{res}{space 2} 74.47403{col 26}{space 2}  25.7722{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} 23.95582{col 67}{space 3} 124.9922
{txt}{space 7}1930  {c |}{col 14}{res}{space 2} 2.183911{col 26}{space 2} 25.76853{col 37}{space 1}    0.08{col 46}{space 3}0.932{col 54}{space 4}-48.32711{col 67}{space 3} 52.69493
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} -.990395{col 26}{space 2} 2.246446{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4} -5.39384{col 67}{space 3}  3.41305
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. predict yhat
{txt}(option {bf:xb} assumed; fitted values)
(7,578 missing values generated)

{com}. logit punished yhat combattant mths_east

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1582.5542}  
Iteration 1:{space 3}log likelihood = {res:-1573.9503}  
Iteration 2:{space 3}log likelihood = {res:-1573.9004}  
Iteration 3:{space 3}log likelihood = {res:-1573.9004}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,647
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     17.31
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0006
{txt}Log likelihood = {res}-1573.9004{txt}{col 49}Pseudo R2{col 67}= {res}    0.0055

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    punished{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}yhat {c |}{col 14}{res}{space 2} .0011784{col 26}{space 2}  .001998{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4}-.0027376{col 67}{space 3} .0050945
{txt}{space 2}combattant {c |}{col 14}{res}{space 2}  .048134{col 26}{space 2} .1099549{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.1673737{col 67}{space 3} .2636416
{txt}{space 3}mths_east {c |}{col 14}{res}{space 2} .0161279{col 26}{space 2} .0040745{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4}  .008142{col 67}{space 3} .0241137
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.258452{col 26}{space 2} .1758963{col 37}{space 1}  -12.84{col 46}{space 3}0.000{col 54}{space 4}-2.603203{col 67}{space 3}-1.913702
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit punished yhat i.division_id

{txt}note: 14.division_id != 0 predicts failure perfectly
      14.division_id dropped and 5 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1581.7022}  
Iteration 1:{space 3}log likelihood = {res:-1550.9893}  
Iteration 2:{space 3}log likelihood = {res:-1548.8808}  
Iteration 3:{space 3}log likelihood = {res:-1548.8545}  
Iteration 4:{space 3}log likelihood = {res:-1548.8545}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,642
{txt}{col 49}LR chi2({res}17{txt}){col 67}= {res}     65.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1548.8545{txt}{col 49}Pseudo R2{col 67}= {res}    0.0208

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    punished{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}yhat {c |}{col 14}{res}{space 2} .0014963{col 26}{space 2} .0021183{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4}-.0026554{col 67}{space 3}  .005648
{txt}{space 12} {c |}
{space 1}division_id {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0676331{col 26}{space 2} .1536948{col 37}{space 1}    0.44{col 46}{space 3}0.660{col 54}{space 4}-.2336032{col 67}{space 3} .3688695
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.143523{col 26}{space 2} .1741932{col 37}{space 1}   -0.82{col 46}{space 3}0.410{col 54}{space 4}-.4849354{col 67}{space 3} .1978894
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5210056{col 26}{space 2} .1904298{col 37}{space 1}   -2.74{col 46}{space 3}0.006{col 54}{space 4}-.8942413{col 67}{space 3}  -.14777
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .3924332{col 26}{space 2} .2212466{col 37}{space 1}    1.77{col 46}{space 3}0.076{col 54}{space 4}-.0412022{col 67}{space 3} .8260686
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7257309{col 26}{space 2} .5382591{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-1.780699{col 67}{space 3} .3292375
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .5844396{col 26}{space 2} .2521113{col 37}{space 1}    2.32{col 46}{space 3}0.020{col 54}{space 4} .0903106{col 67}{space 3} 1.078569
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-1.693467{col 26}{space 2} .4315383{col 37}{space 1}   -3.92{col 46}{space 3}0.000{col 54}{space 4}-2.539267{col 67}{space 3}-.8476677
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.9443964{col 26}{space 2} .6140625{col 37}{space 1}   -1.54{col 46}{space 3}0.124{col 54}{space 4}-2.147937{col 67}{space 3} .2591439
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1516203{col 26}{space 2} .2440768{col 37}{space 1}   -0.62{col 46}{space 3}0.534{col 54}{space 4} -.630002{col 67}{space 3} .3267614
{txt}{space 9}14  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}15  {c |}{col 14}{res}{space 2}-.0984195{col 26}{space 2} .2577673{col 37}{space 1}   -0.38{col 46}{space 3}0.703{col 54}{space 4}-.6036342{col 67}{space 3} .4067952
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.4545915{col 26}{space 2} .1866756{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4} -.820469{col 67}{space 3} -.088714
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0150405{col 26}{space 2} .3834482{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4}-.7665852{col 67}{space 3} .7365043
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .0677734{col 26}{space 2} .2715521{col 37}{space 1}    0.25{col 46}{space 3}0.803{col 54}{space 4} -.464459{col 67}{space 3} .6000058
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.5748672{col 26}{space 2} .3143782{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4}-1.191037{col 67}{space 3} .0413027
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4366711{col 26}{space 2} .2332835{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4}-.8938984{col 67}{space 3} .0205561
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-1.113367{col 26}{space 2} 1.040962{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-3.153615{col 67}{space 3}  .926881
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.543292{col 26}{space 2}  .115616{col 37}{space 1}  -13.35{col 46}{space 3}0.000{col 54}{space 4}-1.769896{col 67}{space 3}-1.316689
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit worstpunishment yhat

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5783.1231}  
Iteration 1:{space 3}log likelihood = {res:-5781.4769}  
Iteration 2:{space 3}log likelihood = {res:-5781.4761}  
Iteration 3:{space 3}log likelihood = {res:-5781.4761}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}    10,959
{txt}{col 49}LR chi2({res}1{txt}){col 67}= {res}      3.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0695
{txt}Log likelihood = {res}-5781.4761{txt}{col 49}Pseudo R2{col 67}= {res}    0.0003

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}worstpunishment{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}yhat {c |}{col 17}{res}{space 2}-.0021672{col 29}{space 2} .0011978{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4}-.0045148{col 70}{space 3} .0001804
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2} 1.953869{col 29}{space 2} .0413474{col 57}{space 4} 1.872829{col 70}{space 3} 2.034908
{txt}          /cut2 {c |}{col 17}{res}{space 2}   2.0313{col 29}{space 2} .0419868{col 57}{space 4} 1.949007{col 70}{space 3} 2.113593
{txt}          /cut3 {c |}{col 17}{res}{space 2} 2.051877{col 29}{space 2} .0421642{col 57}{space 4} 1.969236{col 70}{space 3} 2.134517
{txt}          /cut4 {c |}{col 17}{res}{space 2} 2.058493{col 29}{space 2} .0422221{col 57}{space 4} 1.975739{col 70}{space 3} 2.141247
{txt}          /cut5 {c |}{col 17}{res}{space 2} 2.143739{col 29}{space 2} .0429997{col 57}{space 4} 2.059461{col 70}{space 3} 2.228017
{txt}          /cut6 {c |}{col 17}{res}{space 2} 2.158013{col 29}{space 2} .0431354{col 57}{space 4} 2.073469{col 70}{space 3} 2.242557
{txt}          /cut7 {c |}{col 17}{res}{space 2}  2.23413{col 29}{space 2}  .043887{col 57}{space 4} 2.148113{col 70}{space 3} 2.320147
{txt}          /cut8 {c |}{col 17}{res}{space 2} 3.825495{col 29}{space 2} .0736864{col 57}{space 4} 3.681072{col 70}{space 3} 3.969917
{txt}          /cut9 {c |}{col 17}{res}{space 2} 4.210876{col 29}{space 2} .0866072{col 57}{space 4} 4.041129{col 70}{space 3} 4.380623
{txt}         /cut10 {c |}{col 17}{res}{space 2} 9.248783{col 29}{space 2} 1.000458{col 57}{space 4} 7.287922{col 70}{space 3} 11.20964
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit worstpunishment yhat i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5783.1231}  
Iteration 1:{space 3}log likelihood = {res:-5576.7723}  
Iteration 2:{space 3}log likelihood = {res:-5544.4749}  
Iteration 3:{space 3}log likelihood = {res:-5543.2413}  
Iteration 4:{space 3}log likelihood = {res:-5543.0689}  
Iteration 5:{space 3}log likelihood = {res:-5543.0297}  
Iteration 6:{space 3}log likelihood = {res: -5543.022}  
Iteration 7:{space 3}log likelihood = {res:-5543.0202}  
Iteration 8:{space 3}log likelihood = {res:-5543.0198}  
Iteration 9:{space 3}log likelihood = {res:-5543.0197}  
Iteration 10:{space 2}log likelihood = {res:-5543.0197}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}    10,959
{txt}{col 49}LR chi2({res}31{txt}){col 67}= {res}    480.21
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5543.0197{txt}{col 49}Pseudo R2{col 67}= {res}    0.0415

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}worstpunishment{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}yhat {c |}{col 17}{res}{space 2} -.011638{col 29}{space 2} .0097106{col 40}{space 1}   -1.20{col 49}{space 3}0.231{col 57}{space 4}-.0306705{col 70}{space 3} .0073945
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1901  {c |}{col 17}{res}{space 2}-1.017737{col 29}{space 2} .8440584{col 40}{space 1}   -1.21{col 49}{space 3}0.228{col 57}{space 4}-2.672061{col 70}{space 3} .6365873
{txt}{space 10}1902  {c |}{col 17}{res}{space 2}-.0968352{col 29}{space 2} .6811677{col 40}{space 1}   -0.14{col 49}{space 3}0.887{col 57}{space 4}-1.431899{col 70}{space 3} 1.238229
{txt}{space 10}1903  {c |}{col 17}{res}{space 2}-.2499101{col 29}{space 2} .6803862{col 40}{space 1}   -0.37{col 49}{space 3}0.713{col 57}{space 4}-1.583443{col 70}{space 3} 1.083622
{txt}{space 10}1904  {c |}{col 17}{res}{space 2}-.0673459{col 29}{space 2} .5948169{col 40}{space 1}   -0.11{col 49}{space 3}0.910{col 57}{space 4}-1.233166{col 70}{space 3} 1.098474
{txt}{space 10}1905  {c |}{col 17}{res}{space 2} .6882938{col 29}{space 2} .5316472{col 40}{space 1}    1.29{col 49}{space 3}0.195{col 57}{space 4}-.3537156{col 70}{space 3} 1.730303
{txt}{space 10}1906  {c |}{col 17}{res}{space 2} .8706357{col 29}{space 2} .5034077{col 40}{space 1}    1.73{col 49}{space 3}0.084{col 57}{space 4}-.1160253{col 70}{space 3} 1.857297
{txt}{space 10}1907  {c |}{col 17}{res}{space 2} .3270443{col 29}{space 2} .5303222{col 40}{space 1}    0.62{col 49}{space 3}0.537{col 57}{space 4}-.7123681{col 70}{space 3} 1.366457
{txt}{space 10}1908  {c |}{col 17}{res}{space 2} .9722819{col 29}{space 2} .4967664{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4}-.0013623{col 70}{space 3} 1.945926
{txt}{space 10}1909  {c |}{col 17}{res}{space 2} .7391562{col 29}{space 2} .5030027{col 40}{space 1}    1.47{col 49}{space 3}0.142{col 57}{space 4} -.246711{col 70}{space 3} 1.725023
{txt}{space 10}1910  {c |}{col 17}{res}{space 2} 1.108571{col 29}{space 2} .4800395{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} .1677106{col 70}{space 3} 2.049431
{txt}{space 10}1911  {c |}{col 17}{res}{space 2} 1.188814{col 29}{space 2} .4846964{col 40}{space 1}    2.45{col 49}{space 3}0.014{col 57}{space 4} .2388269{col 70}{space 3} 2.138802
{txt}{space 10}1912  {c |}{col 17}{res}{space 2} 1.298825{col 29}{space 2} .4799586{col 40}{space 1}    2.71{col 49}{space 3}0.007{col 57}{space 4} .3581237{col 70}{space 3} 2.239527
{txt}{space 10}1913  {c |}{col 17}{res}{space 2} 1.450101{col 29}{space 2} .5770801{col 40}{space 1}    2.51{col 49}{space 3}0.012{col 57}{space 4} .3190443{col 70}{space 3} 2.581157
{txt}{space 10}1914  {c |}{col 17}{res}{space 2} 2.650729{col 29}{space 2} .4948142{col 40}{space 1}    5.36{col 49}{space 3}0.000{col 57}{space 4} 1.680911{col 70}{space 3} 3.620547
{txt}{space 10}1915  {c |}{col 17}{res}{space 2} 2.297622{col 29}{space 2} .5108846{col 40}{space 1}    4.50{col 49}{space 3}0.000{col 57}{space 4} 1.296306{col 70}{space 3} 3.298937
{txt}{space 10}1916  {c |}{col 17}{res}{space 2} 2.166211{col 29}{space 2} .5230201{col 40}{space 1}    4.14{col 49}{space 3}0.000{col 57}{space 4} 1.141111{col 70}{space 3} 3.191312
{txt}{space 10}1917  {c |}{col 17}{res}{space 2} 2.234358{col 29}{space 2} .4746549{col 40}{space 1}    4.71{col 49}{space 3}0.000{col 57}{space 4} 1.304051{col 70}{space 3} 3.164664
{txt}{space 10}1918  {c |}{col 17}{res}{space 2} 2.214808{col 29}{space 2} .4856377{col 40}{space 1}    4.56{col 49}{space 3}0.000{col 57}{space 4} 1.262975{col 70}{space 3}  3.16664
{txt}{space 10}1919  {c |}{col 17}{res}{space 2} 2.346788{col 29}{space 2} .4941568{col 40}{space 1}    4.75{col 49}{space 3}0.000{col 57}{space 4} 1.378259{col 70}{space 3} 3.315318
{txt}{space 10}1920  {c |}{col 17}{res}{space 2} 2.019022{col 29}{space 2} .5148759{col 40}{space 1}    3.92{col 49}{space 3}0.000{col 57}{space 4} 1.009884{col 70}{space 3} 3.028161
{txt}{space 10}1921  {c |}{col 17}{res}{space 2} 2.354642{col 29}{space 2} .5636513{col 40}{space 1}    4.18{col 49}{space 3}0.000{col 57}{space 4} 1.249905{col 70}{space 3} 3.459378
{txt}{space 10}1922  {c |}{col 17}{res}{space 2}  1.99426{col 29}{space 2} .6348626{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} .7499527{col 70}{space 3} 3.238568
{txt}{space 10}1923  {c |}{col 17}{res}{space 2} 2.158466{col 29}{space 2} .7041518{col 40}{space 1}    3.07{col 49}{space 3}0.002{col 57}{space 4}  .778354{col 70}{space 3} 3.538578
{txt}{space 10}1924  {c |}{col 17}{res}{space 2} 2.040087{col 29}{space 2} .7669552{col 40}{space 1}    2.66{col 49}{space 3}0.008{col 57}{space 4} .5368827{col 70}{space 3} 3.543292
{txt}{space 10}1925  {c |}{col 17}{res}{space 2} 1.629039{col 29}{space 2} .7709568{col 40}{space 1}    2.11{col 49}{space 3}0.035{col 57}{space 4} .1179911{col 70}{space 3} 3.140086
{txt}{space 10}1926  {c |}{col 17}{res}{space 2} 1.188934{col 29}{space 2} .7653179{col 40}{space 1}    1.55{col 49}{space 3}0.120{col 57}{space 4}-.3110616{col 70}{space 3} 2.688929
{txt}{space 10}1927  {c |}{col 17}{res}{space 2}-.0578465{col 29}{space 2} .9171644{col 40}{space 1}   -0.06{col 49}{space 3}0.950{col 57}{space 4}-1.855456{col 70}{space 3} 1.739763
{txt}{space 10}1928  {c |}{col 17}{res}{space 2}-12.37777{col 29}{space 2} 464.0383{col 40}{space 1}   -0.03{col 49}{space 3}0.979{col 57}{space 4}-921.8762{col 70}{space 3} 897.1206
{txt}{space 10}1929  {c |}{col 17}{res}{space 2}-12.10931{col 29}{space 2} 3534.702{col 40}{space 1}   -0.00{col 49}{space 3}0.997{col 57}{space 4}-6939.998{col 70}{space 3} 6915.779
{txt}{space 10}1930  {c |}{col 17}{res}{space 2}-12.93561{col 29}{space 2} 3534.702{col 40}{space 1}   -0.00{col 49}{space 3}0.997{col 57}{space 4}-6940.824{col 70}{space 3} 6914.953
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2} 3.405159{col 29}{space 2} .4544874{col 57}{space 4}  2.51438{col 70}{space 3} 4.295938
{txt}          /cut2 {c |}{col 17}{res}{space 2} 3.486009{col 29}{space 2} .4545657{col 57}{space 4} 2.595077{col 70}{space 3} 4.376942
{txt}          /cut3 {c |}{col 17}{res}{space 2}  3.50746{col 29}{space 2} .4545869{col 57}{space 4} 2.616486{col 70}{space 3} 4.398434
{txt}          /cut4 {c |}{col 17}{res}{space 2} 3.514352{col 29}{space 2} .4545938{col 57}{space 4} 2.623365{col 70}{space 3}  4.40534
{txt}          /cut5 {c |}{col 17}{res}{space 2} 3.602944{col 29}{space 2} .4546844{col 57}{space 4} 2.711779{col 70}{space 3} 4.494109
{txt}          /cut6 {c |}{col 17}{res}{space 2} 3.617742{col 29}{space 2} .4546999{col 57}{space 4} 2.726546{col 70}{space 3} 4.508937
{txt}          /cut7 {c |}{col 17}{res}{space 2}  3.69657{col 29}{space 2} .4547851{col 57}{space 4} 2.805208{col 70}{space 3} 4.587933
{txt}          /cut8 {c |}{col 17}{res}{space 2} 5.317542{col 29}{space 2} .4587788{col 57}{space 4} 4.418353{col 70}{space 3} 6.216732
{txt}          /cut9 {c |}{col 17}{res}{space 2} 5.705295{col 29}{space 2} .4610497{col 57}{space 4} 4.801654{col 70}{space 3} 6.608936
{txt}         /cut10 {c |}{col 17}{res}{space 2} 10.74743{col 29}{space 2} 1.098188{col 57}{space 4} 8.595026{col 70}{space 3} 12.89984
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 60 observations completely determined.{txt}  Standard errors questionable.{p_end}

{com}. ologit worstpunishment yhat i.division_id

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2223.4521}  
Iteration 1:{space 3}log likelihood = {res:-2191.1812}  
Iteration 2:{space 3}log likelihood = {res:-2187.9961}  
Iteration 3:{space 3}log likelihood = {res: -2187.861}  
Iteration 4:{space 3}log likelihood = {res:-2187.8434}  
Iteration 5:{space 3}log likelihood = {res:-2187.8399}  
Iteration 6:{space 3}log likelihood = {res:-2187.8391}  
Iteration 7:{space 3}log likelihood = {res:-2187.8389}  
Iteration 8:{space 3}log likelihood = {res:-2187.8389}  
Iteration 9:{space 3}log likelihood = {res:-2187.8389}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,647
{txt}{col 49}LR chi2({res}18{txt}){col 67}= {res}     71.23
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2187.8389{txt}{col 49}Pseudo R2{col 67}= {res}    0.0160

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}worstpunishment{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}yhat {c |}{col 17}{res}{space 2} .0014713{col 29}{space 2}  .002152{col 40}{space 1}    0.68{col 49}{space 3}0.494{col 57}{space 4}-.0027465{col 70}{space 3} .0056891
{txt}{space 15} {c |}
{space 4}division_id {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .0731072{col 29}{space 2} .1562362{col 40}{space 1}    0.47{col 49}{space 3}0.640{col 57}{space 4}-.2331102{col 70}{space 3} .3793246
{txt}{space 13}3  {c |}{col 17}{res}{space 2}-.1664977{col 29}{space 2} .1775387{col 40}{space 1}   -0.94{col 49}{space 3}0.348{col 57}{space 4}-.5144672{col 70}{space 3} .1814718
{txt}{space 13}4  {c |}{col 17}{res}{space 2}-.5515835{col 29}{space 2} .1964094{col 40}{space 1}   -2.81{col 49}{space 3}0.005{col 57}{space 4}-.9365389{col 70}{space 3}-.1666282
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .3807815{col 29}{space 2} .2215748{col 40}{space 1}    1.72{col 49}{space 3}0.086{col 57}{space 4}-.0534972{col 70}{space 3} .8150601
{txt}{space 13}8  {c |}{col 17}{res}{space 2}-.9525659{col 29}{space 2} .6107621{col 40}{space 1}   -1.56{col 49}{space 3}0.119{col 57}{space 4}-2.149638{col 70}{space 3} .2445058
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .5957786{col 29}{space 2} .2527619{col 40}{space 1}    2.36{col 49}{space 3}0.018{col 57}{space 4} .1003744{col 70}{space 3} 1.091183
{txt}{space 12}10  {c |}{col 17}{res}{space 2}-2.054796{col 29}{space 2} .5194431{col 40}{space 1}   -3.96{col 49}{space 3}0.000{col 57}{space 4}-3.072886{col 70}{space 3}-1.036706
{txt}{space 12}11  {c |}{col 17}{res}{space 2} -.926614{col 29}{space 2} .6130758{col 40}{space 1}   -1.51{col 49}{space 3}0.131{col 57}{space 4} -2.12822{col 70}{space 3} .2749925
{txt}{space 12}12  {c |}{col 17}{res}{space 2}-.1477836{col 29}{space 2} .2469405{col 40}{space 1}   -0.60{col 49}{space 3}0.550{col 57}{space 4}-.6317781{col 70}{space 3}  .336211
{txt}{space 12}14  {c |}{col 17}{res}{space 2} -14.4446{col 29}{space 2} 1344.512{col 40}{space 1}   -0.01{col 49}{space 3}0.991{col 57}{space 4}-2649.639{col 70}{space 3}  2620.75
{txt}{space 12}15  {c |}{col 17}{res}{space 2}-.1458056{col 29}{space 2} .2662848{col 40}{space 1}   -0.55{col 49}{space 3}0.584{col 57}{space 4}-.6677141{col 70}{space 3}  .376103
{txt}{space 12}16  {c |}{col 17}{res}{space 2}-.4182222{col 29}{space 2} .1885543{col 40}{space 1}   -2.22{col 49}{space 3}0.027{col 57}{space 4}-.7877819{col 70}{space 3}-.0486626
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .0023686{col 29}{space 2} .3809307{col 40}{space 1}    0.01{col 49}{space 3}0.995{col 57}{space 4}-.7442418{col 70}{space 3}  .748979
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .1063141{col 29}{space 2} .2705957{col 40}{space 1}    0.39{col 49}{space 3}0.694{col 57}{space 4}-.4240437{col 70}{space 3} .6366719
{txt}{space 12}19  {c |}{col 17}{res}{space 2}-.5141747{col 29}{space 2}  .314503{col 40}{space 1}   -1.63{col 49}{space 3}0.102{col 57}{space 4}-1.130589{col 70}{space 3} .1022398
{txt}{space 12}20  {c |}{col 17}{res}{space 2} -.411759{col 29}{space 2} .2367053{col 40}{space 1}   -1.74{col 49}{space 3}0.082{col 57}{space 4}-.8756928{col 70}{space 3} .0521747
{txt}{space 12}22  {c |}{col 17}{res}{space 2}-1.117077{col 29}{space 2} 1.038792{col 40}{space 1}   -1.08{col 49}{space 3}0.282{col 57}{space 4}-3.153071{col 70}{space 3} .9189177
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2} 1.602357{col 29}{space 2} .1176006{col 57}{space 4} 1.371864{col 70}{space 3}  1.83285
{txt}          /cut2 {c |}{col 17}{res}{space 2} 1.674792{col 29}{space 2} .1180749{col 57}{space 4}  1.44337{col 70}{space 3} 1.906215
{txt}          /cut3 {c |}{col 17}{res}{space 2} 1.693499{col 29}{space 2} .1182048{col 57}{space 4} 1.461822{col 70}{space 3} 1.925176
{txt}          /cut4 {c |}{col 17}{res}{space 2} 1.698215{col 29}{space 2} .1182383{col 57}{space 4} 1.466473{col 70}{space 3} 1.929958
{txt}          /cut5 {c |}{col 17}{res}{space 2} 1.793425{col 29}{space 2} .1189392{col 57}{space 4} 1.560308{col 70}{space 3} 2.026541
{txt}          /cut6 {c |}{col 17}{res}{space 2} 1.801021{col 29}{space 2} .1189971{col 57}{space 4} 1.567791{col 70}{space 3} 2.034251
{txt}          /cut7 {c |}{col 17}{res}{space 2} 1.865989{col 29}{space 2} .1195162{col 57}{space 4} 1.631742{col 70}{space 3} 2.100237
{txt}          /cut8 {c |}{col 17}{res}{space 2} 3.646527{col 29}{space 2} .1553858{col 57}{space 4} 3.341976{col 70}{space 3} 3.951077
{txt}          /cut9 {c |}{col 17}{res}{space 2} 4.072787{col 29}{space 2} .1745146{col 57}{space 4} 3.730744{col 70}{space 3} 4.414829
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 5 observations completely determined.{txt}  Standard errors questionable.{p_end}

{com}. ologit worstpunishment yhat combattant mths_east

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2223.4521}  
Iteration 1:{space 3}log likelihood = {res:-2213.8084}  
Iteration 2:{space 3}log likelihood = {res:-2213.7418}  
Iteration 3:{space 3}log likelihood = {res:-2213.7418}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,647
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     19.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0002
{txt}Log likelihood = {res}-2213.7418{txt}{col 49}Pseudo R2{col 67}= {res}    0.0044

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}worstpunishment{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}yhat {c |}{col 17}{res}{space 2} .0010535{col 29}{space 2} .0020327{col 40}{space 1}    0.52{col 49}{space 3}0.604{col 57}{space 4}-.0029305{col 70}{space 3} .0050374
{txt}{space 5}combattant {c |}{col 17}{res}{space 2} .0351317{col 29}{space 2} .1113122{col 40}{space 1}    0.32{col 49}{space 3}0.752{col 57}{space 4}-.1830361{col 70}{space 3} .2532996
{txt}{space 6}mths_east {c |}{col 17}{res}{space 2} .0176352{col 29}{space 2} .0042228{col 40}{space 1}    4.18{col 49}{space 3}0.000{col 57}{space 4} .0093587{col 70}{space 3} .0259117
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2} 2.356701{col 29}{space 2} .1812442{col 57}{space 4} 2.001469{col 70}{space 3} 2.711933
{txt}          /cut2 {c |}{col 17}{res}{space 2}  2.42816{col 29}{space 2} .1816128{col 57}{space 4} 2.072206{col 70}{space 3} 2.784115
{txt}          /cut3 {c |}{col 17}{res}{space 2} 2.446607{col 29}{space 2} .1817126{col 57}{space 4} 2.090457{col 70}{space 3} 2.802757
{txt}          /cut4 {c |}{col 17}{res}{space 2} 2.451258{col 29}{space 2} .1817383{col 57}{space 4} 2.095057{col 70}{space 3} 2.807459
{txt}          /cut5 {c |}{col 17}{res}{space 2} 2.545202{col 29}{space 2} .1822751{col 57}{space 4} 2.187949{col 70}{space 3} 2.902454
{txt}          /cut6 {c |}{col 17}{res}{space 2} 2.552701{col 29}{space 2} .1823194{col 57}{space 4} 2.195361{col 70}{space 3}  2.91004
{txt}          /cut7 {c |}{col 17}{res}{space 2} 2.616873{col 29}{space 2}  .182709{col 57}{space 4}  2.25877{col 70}{space 3} 2.974976
{txt}          /cut8 {c |}{col 17}{res}{space 2} 4.387828{col 29}{space 2} .2085695{col 57}{space 4} 3.979039{col 70}{space 3} 4.796617
{txt}          /cut9 {c |}{col 17}{res}{space 2} 4.813675{col 29}{space 2} .2232502{col 57}{space 4} 4.376113{col 70}{space 3} 5.251238
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit punished yhat

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4135.1011}  
Iteration 1:{space 3}log likelihood = {res:-4133.7163}  
Iteration 2:{space 3}log likelihood = {res:-4133.7158}  
Iteration 3:{space 3}log likelihood = {res:-4133.7158}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    10,959
{txt}{col 49}LR chi2({res}1{txt}){col 67}= {res}      2.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0960
{txt}Log likelihood = {res}-4133.7158{txt}{col 49}Pseudo R2{col 67}= {res}    0.0003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    punished{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}yhat {c |}{col 14}{res}{space 2}-.0019427{col 26}{space 2} .0011702{col 37}{space 1}   -1.66{col 46}{space 3}0.097{col 54}{space 4}-.0042363{col 67}{space 3} .0003509
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.895378{col 26}{space 2} .0404534{col 37}{space 1}  -46.85{col 46}{space 3}0.000{col 54}{space 4}-1.974665{col 67}{space 3} -1.81609
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}U:\u5390570\Hitler Youth Project\Main Data Analysis\Altonji-Elder-Taber tests.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}13 Nov 2017, 10:30:54
{txt}{.-}
{smcl}
{txt}{sf}{ul off}